Using docker for factory system software management: Experience report

Senington, Richard; Pataki, Béla; Wang, Xi Vincent

doi:10.1016/j.procir.2018.03.173

Cited by 10 publications

(6 citation statements)

References 7 publications

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“…A few [15,30] have proposed modular architectures to support data management facilities. Microservices Flexibility is extensively exploited by quite a number of authors who have proposed control loop systems [9,17,26,44], virtualized networking systems [51,59] and DevOps approaches to the management of production assets [19,37,52,65] respectively. The Portability feature is poorly exploited to serve Industrial Control and Communication purposes.…”

Section: Final Discussionmentioning

confidence: 99%

“…In particular, researchers have addressed the compelling need of handling the increasing amount of data produced in the factory by proposing scalable communication frameworks [3,15,56,59] and scalable data management facilities [18,66]. Finally, a handful of works have called upon microservices motivated by the fact that this paradigm enables agile approaches to the development, deployment and maintenance of software components [19,35,37,52]. The CI/CD methodology was exploited to mainly implement software solutions devoted to the production control, whilst it was poorly addressed for other purposes.…”

Section: Final Discussionmentioning

confidence: 99%

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A Survey on the Use of Lightweight Virtualization in I4.0 Manufacturing Environments

Modica

2023

J Netw Syst Manage

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Over the past decade, in the industrial sector we have witnessed the rise of a revolutionary movement, known as Industry 4.0, that promotes the digital transformation as the key to increase the competitiveness of manufacturing factories. Among the many technologies recognized as “drivers” of such revolutionary transition, microservices stand out as a software development paradigm capable of bringing several benefits to the manufacturing process. Whilst the literature offers many examples of initiatives exploiting microservices in digitally-advanced sectors (e.g., finance, telecommunication, retailing), its potential in the industrial manufacturing is yet to be fully unleashed. We conducted an extensive literature survey in the twofold aim of bringing to the reader’s attention the many benefits that the microservices paradigm may offer in industrial manufacturing settings, and drawing a picture of how light virtualization techniques are actually being exploited to achieve Industry 4.0 digitization goals. In this paper, we propose a structured analysis of the collected literature proposals which combines the benefits sought by authors when approaching to the microservices techniques and the specific scope of application of proposals. We conclude the paper highlighting the research aspects that have not been sufficiently explored in the literature and that would deserve further attention in the near future.

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Section: Final Discussionmentioning

confidence: 99%

Section: Final Discussionmentioning

confidence: 99%

A Survey on the Use of Lightweight Virtualization in I4.0 Manufacturing Environments

Modica

2023

J Netw Syst Manage

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“…Disini penulis mencoba memecahkan masalah pada bagian mahasiswa yang terkendala sumber daya dalam melakukan pemprograman. Alasan utama adalah: 1) mahasiswa tidak mempunyai computer yang cukup untuk melakukan pemprograman [9], manajemen software pada perusahaan dan manufaktur [10] Pada prakteknya, docker container disimpan dalam bentuk image. Dengan bentuk image, maka kelebihan lain menggunakan docker adalah dengan mengandalkan modularitasnya, sebuah image dapat dibagikan dan disertakan dalam image lain untuk menyederhanakan cara membangun dan mengemas perangkat lunak baru (building and packaging new software) [11] serta mempermudah mengirim aplikasi tradisional menjadi aplikasi cloud / serverless [12].…”

Section: Pendahuluanunclassified

Pengembangan Dan Implementasi Docker Untuk Memaksimalkan Utilitas Server Universitas Pada Masa Covid-19

et al. 2022

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Covid-19 membuat seluruh kegiatan produktif manusia terdisrupsi, tak terkecuali pada Pendidikan. kegiatan belajar yang seharusnya tatap muka kemudian berganti menjadi daring, memaksa universitas untuk membelanjakan anggaran tidak terduga untuk mendukung infrastruktur pembelajaran secara daring terutama server dan system Pendidikan daring yang Tangguh. Masalah yang peneliti angkat adalah kegiatan mahasiswa praktek untuk penggunaan alat maupun melakukan pemprograman yang membutuhkan sumber daya yang cukup besar. Dengan berfokus pada masalah pemprograman, peneliti menggunakan pendekatan pemanfaatan linux dan docker untuk membantu mahasiswa menggunakan sumber daya Perguruan Tinggi tanpa mengeluarkan biaya tambahan seperti pembelian computer baru maupun penambahan biaya listrik. Dari hasil Quisioner, didapatkan bahwa Server Docker yang dibangun, telah membantu 40 partisipant dalam menjalankan kegiatan belajar mengajar dan penelitian

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“…The scope of container applications cuts across every industry [50]. In the literature, the use of container-based edge computing was found in: a civil construction application [51], a crane maneuvering application to avoid accidents with construction workers [52], monitoring patient fall detection [29]; human activity recognition [53]; autonomous vehicles [33]; real-time video processing [3,41]; real-time process control [54,55]; intelligent farming [56]; factory system software management [57] and modular cyber-physical system [58]. In [59], authors present the implementation of a container-based MQTT broker.…”

Section: Container Applications In Edge Computingmentioning

confidence: 99%

Container Placement and Migration in Edge Computing: Concept and Scheduling Models

Oleghe

2021

IEEE Access

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Containers are a form of software virtualization, rapidly becoming the de facto way of providing edge computing services. Research on container-based edge computing is plentiful, and this has been buoyed by the increasing demand for single digit, milliseconds latency computations. A container scheduler is part of the architecture that is used to manage and orchestrate multiple container-based applications on heterogenous computing nodes. The scheduler decides how incoming computing requests are allocated to containers, which edge nodes the containers are placed on, and where already deployed containers are migrated to. This paper aims to clarify the concept of container placement and migration in edge servers and the scheduling models that have been developed for this purpose. The study illuminates the frameworks and algorithms upon which the scheduling models are built. To convert the problem to one that can be solved using an algorithm, the container placement problem in mostly abstracted using multi-objective optimization models or graph network models. The scheduling algorithms are predominantly heuristic-based algorithms, which are able to arrive at sub-optimal solutions very quickly. There is paucity of container scheduling models that consider distributed edge computing tasks. Research in decentralized scheduling systems is gaining momentum and the future outlook is in scheduling containers for mobile edge nodes.

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Using docker for factory system software management: Experience report

Cited by 10 publications

References 7 publications

A Survey on the Use of Lightweight Virtualization in I4.0 Manufacturing Environments

A Survey on the Use of Lightweight Virtualization in I4.0 Manufacturing Environments

Pengembangan Dan Implementasi Docker Untuk Memaksimalkan Utilitas Server Universitas Pada Masa Covid-19

Container Placement and Migration in Edge Computing: Concept and Scheduling Models

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